Understanding the Advantages of Geo Charts & Google Maps in Data Studio

Understanding the Advantages of Geo Charts & Google Maps in Data Studio

With the recent surge of digital analytics importance with C-Suite members, we have not so data savvy stakeholders requiring analytics professionals to have more creative ways to communicate analytics insights through visually appealing dashboards & reports.

Map visualizations can play a vital role towards this requirement. Not only are map visualizations the most effective way to display geographic information, but they also provide a compelling way to visualize conversions and understand key metrics.

Data Studio offers two powerful map visualizations: Geo charts and Google Maps charts. Below we will explore the key advantages of both features, so you can assess which one should be leveraged towards your storytelling efforts in reporting & utilized to highlight key metrics in dashboards.

Geo Charts

A Geo chart provides an easy way to visualize how a measurement varies across a geographic area.

Geo chart example


Geo Chart Advantage #1: Ability to Drill Down into Smaller Geographic Areas

Drilling down allows users to dig deeper into the details of the data within a chart. For example, you may want to compare revenue between countries and within those countries between different cities. Geo charts allow you to drill down from country to city or drill up from city to country in one chart instead of creating two separate charts.

View in Data Studio

Geo Chart Advantage #2: Can Utilize Optional Metrics to Enhance your Reports

Viewers have the option to select a metric from a list of metrics to display on the Geo chart. In the following example, you can select revenue from the list of metrics that will filter the map visual to only show that metric. This is great when you want to see your data back-to-back instead of creating separate charts for each metric.

View in Data Studio

Google Maps

Adding Google Maps to your reports gives your viewers a familiar interactive environment in which to explore geographic data.

Google Maps example


Google Maps Advantage #1: Google Maps App Features in Data Studio

There are zoom in and out options on the visualization that allows you to zoom in closer to a specific area and the ability to pan around the map. This is useful for reports that have data in more than one country and allows you to see a particular city in more detail. There is also a full screen feature that allows users to show the map visual in full screen if you are showcasing your report and want to focus on any geographical insights.

View in Data Studio

Google Maps Advantage #2: Custom Map Styles that Can Help Enhance your Map Visualizations

It gives you the option to set your map as a regular map or a satellite map. You can also set the visibility of roads, landmarks and labels. For example, setting the labels to show more details like the name of the state or city or to remove roads from the map.

View in Data Studio

We hope this inspires you try out map visualization features in your next Data Studio dashboard!

Other Posts in Our 2021 Data Studio Series:
  1. Create Calculated Fields in Blended Data Source Tables with Data Studio
  2. Gain Insights on Data Studio Reports in Google Analytics
  3. Understanding the Advantages of Geo Charts & Google Maps in Data Studio (this post)
  4. Enhance GA4 Reporting Functionality with Calculated Metrics in Data Studio
  5. The Quick Reference Guide to GA4 Ecommerce Data in Data Studio
  6. Key Storytelling & Visualization Elements for Meaningful Stakeholder Reports
  7. Turn Up the Dial on your Dashboard Design with New Gauge Charts
  8. Visualize Your User Journey with Horizontal Bar Charts in Data Studio
  9. Taking Advantage of Data Studio Community Connectors
  10. Time Saving Layout Features You Should Be Using in Google Data Studio
  11. Quick Introduction of the New Report Publishing Control in Data Studio
  12. Guide to Collaboration & Transfer Ownership Features in Data Studio
By |2021-12-21T13:09:52-05:00December 8th, 2021|0 Comments
Categories: Data Studio, General

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